Statistical Modeling Researcher for AI Evaluation

Statistical modeling researchers apply advanced statistical theory, methodology, and applied modeling to produce expert-level training data and to evaluate AI-generated responses for accuracy and relevance. This is a flexible, project-based, hourly engagement you can perform remotely alongside other commitments.

• Assess AI-generated statistical content for correctness, clarity, and relevance, using your research expertise.
• Create high-quality, expert-level training examples and annotations that reflect current statistical practice and theory.
• Provide detailed feedback to help AI systems better represent statistical methodology and research findings.
• Work independently and asynchronously with research teams, meeting project-specific guidelines and quality standards.
• No prior AI experience is required; emphasis is on domain expertise in statistics.

• PhD in Statistics, Biostatistics, Applied Statistics, or a closely related field from a top 100 U.S. university.
• Research background in one or more of the following areas: statistical theory or methodology, statistical computation or machine learning, applied statistics or domain-specific statistical applications.
• Familiarity with arXiv, especially the Statistics repository (stat).
• Strong written communication skills and attention to detail.
• Proven ability to work independently and asynchronously with distributed research teams.

• Location: Fully remote.
• Employment type: Part time, hourly contract work.
• Schedule: Flexible, asynchronous, with no minimum hour requirement; most contributors work approximately 5 to 20 hours per week while participating in an active project.
• Project placement depends on current project needs. Selection for one project does not guarantee continuous work, though there are opportunities to be considered for future projects as they become available.

Up to $75/hr (depending on the project)

• F-1 students who are eligible for CPT or OPT may be eligible to participate. Consult your Designated School Official to confirm whether this engagement meets your institution''s requirements.
• If your school requires enrollment in a CPT course for off-campus work, this engagement may not satisfy that requirement.
• STEM OPT is not supported for this engagement.
• Refer to the program''s support resources for additional details on accepted work authorizations.

• Create an account on the engagement platform and complete the required profile information.
• Complete identity verification as requested.
• Apply to or join projects that match your expertise and complete any project-specific onboarding.
• Begin assigned tasks and receive payment according to the project''s payment schedule.